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在 OpenClaw 中安装
/install render-stl-png
功能描述
Render an STL file to a PNG image with a solid color using a deterministic software renderer and adjustable 3D perspective parameters.
安全使用建议
This skill appears to do exactly what it claims: a deterministic software renderer that reads an STL and writes a PNG. Before installing/running: (1) Inspect the included Python script if you want to be certain — it will execute arbitrary Python on any file path you provide. (2) Be aware the wrapper will create a virtualenv in your cache directory and run pip to download and install pillow from PyPI (network access). If you prefer tighter control, run the renderer in an isolated environment (container or dedicated venv) or install the pillow dependency yourself and invoke the Python script directly.
功能分析
Type: OpenClaw Skill
Name: render-stl-png
Version: 0.1.0
The skill is classified as suspicious due to the `scripts/render_stl_png.sh` file performing a `pip install pillow` command. While `pillow` is a legitimate dependency for the skill's stated purpose of image rendering, this action involves network access to PyPI and the execution of remote code, which represents a supply chain risk. There is no clear evidence of malicious intent, but the capability to fetch and execute remote artifacts is a high-risk behavior.
能力评估
Purpose & Capability
Name/intent (render STL → PNG) lines up with shipped code: a pure-Python software rasterizer and a small wrapper. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md and the scripts confine actions to: reading the provided STL file, CPU-rendering into an image, and writing the output PNG. The instructions do not request system-wide config, other files, or remote endpoints.
Install Mechanism
There is no formal install spec, but the included bash wrapper creates a virtualenv under $XDG_CACHE_HOME or ~/.cache and runs pip install pillow. This implies network access to PyPI at runtime; pillow is a common dependency, but the behavior should be noted.
Credentials
The skill requires no environment variables, credentials, or config paths. The only environment interaction is using XDG_CACHE_HOME/$HOME for the venv — which is reasonable for caching a virtualenv.
Persistence & Privilege
The wrapper will create a persistent virtualenv under the user's cache directory and install packages into it. The skill does not request elevated privileges, is not always-enabled, and does not modify other skills or system-wide agent settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install render-stl-png - 安装完成后，直接呼叫该 Skill 的名称或使用
/render-stl-png触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Initial release: deterministic software renderer (ASCII/binary STL -> PNG), pillow via cached venv
元数据
常见问题
Render Stl Png 是什么？
Render an STL file to a PNG image with a solid color using a deterministic software renderer and adjustable 3D perspective parameters. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2163 次。
如何安装 Render Stl Png？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install render-stl-png」即可一键安装，无需额外配置。
Render Stl Png 是免费的吗？
是的，Render Stl Png 完全免费（开源免费），可自由下载、安装和使用。
Render Stl Png 支持哪些平台？
Render Stl Png 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Render Stl Png？
由 ajmwagar（@ajmwagar）开发并维护，当前版本 v0.1.0。
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